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OverviewMany monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly. Examples are on-line industrial processes where influent material is not consistent over time, energy load or price forecasting where demand characteristics change rapidly, and health management where relationships among monitored variables must be learned for each patient-treatment combination. The solution presented is a neuro-computing system that learns in real-time, even when data arrival rates are several million measurements per second. This text describes benefits and features of the system, statistical foundations for the system, and several related models. It also describes available system software. Full Product DetailsAuthor: R.J. JannaronePublisher: Chapman and Hall Imprint: Chapman and Hall Edition: 1997 ed. Dimensions: Width: 15.30cm , Height: 2.00cm , Length: 22.90cm Weight: 0.565kg ISBN: 9780412088315ISBN 10: 0412088312 Pages: 352 Publication Date: July 1997 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |